Senior Associate/AVP, Risk & Reporting

Oaktree Capital Management, L.P.•Los Angeles, CA

29d•$130,000 - $170,000

About The Position

Oaktree is a leader among global investment managers specializing in alternative investments, with more than $220 billion in assets under management. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,400 employees and offices in more than 25 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. Oaktree's Risk & Reporting (R&R) department delivers best-in-class, technology-enabled analytics and reporting to current and prospective investors, as well as to portfolio management professionals across the firm globally. For additional information please visit our website at www.oaktreecapital.com.

Requirements

4 to 8+ years of experience in data analytics and BI development on cloud platforms, ideally within asset management, financial services, or another data-rich domain with comparable rigor
Exposure to alternative investments required; asset-based finance, structured credit, or private credit experience strongly preferred
Proficiency in Microsoft Fabric for developing data pipelines, dataflows, Lakehouse, and data warehouse solutions
Strong Power BI development skills, including DAX, Power Query (M), semantic modeling, and paginated reports
Experience with SQL and SQL Server Management Studio (SSMS) for querying, data modeling, and performance optimization
Proficiency in Python for data analysis, automation, and notebook-based development
Hands-on experience with PySpark for distributed data processing within Fabric, Databricks, or Synapse Spark environments
Working knowledge of the broader Azure data stack, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure DevOps
Understanding of data governance, reporting standards, and compliance frameworks
Strong opinions on how to build BI and analytical solutions, with the judgment to flag concerns about scalability, maintainability, or data accuracy and the collaborative disposition to work through them with the strategy lead
Excellent communication and presentation skills, with the ability to explain technical design choices and trade-offs to senior stakeholders and deal-team partners
Pragmatic under deadline pressure: comfortable shipping a strong prototype as the basis for discussion, while holding a non-negotiable bar on data model design, data accuracy, and clear documentation
Detail-oriented and rigorous, with a natural problem-solving disposition and the resolve to research and validate before drawing conclusions
Passion for data-driven decision-making and continuous professional development
Self-motivated team player who works in close partnership with others rather than in a silo, with strong collaboration skills and the ability to thrive in a fast-paced environment
Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Finance, Data Analytics, or related field (Master’s degree preferred)

Responsibilities

Build, extend, and maintain the ABF Power BI environment within the established architecture, with a primary focus on collateral performance, credit metrics, exposure analysis, and fund-level reporting
Implement and evolve Power BI solutions in Microsoft Fabric using a template-based, reusable approach (common data models, common measures, standardized layouts, and consistent navigation), so that new pages and dashboards can be added without rebuilding from scratch
Partner with the ABF deal team in working sessions and embedded engagements (including borrower calls and vendor data validation where relevant) to understand the decisions the dashboards need to support, validate outputs against business needs, and iterate based on live feedback
Bring strong judgment on BI design – filter placement, navigation, page focus, drill-through structure, dynamic titles, footnotes, and Oaktree-branded visual conventions – so that consistency across the environment is preserved as it scales
Write efficient SQL queries, DAX measures, and Power Query (M) scripts to support analytical models, ad-hoc analyses, and recurring deliverables
Develop PySpark notebooks within Microsoft Fabric and Azure environments for data transformation, automation, and large-scale data processing
Build and maintain Fabric dataflows, pipelines, and Azure-based data engineering workflows (Azure Data Factory, Synapse, Data Lake Storage) to support scalable, secure, and high-performing data solutions
Design and enforce semantic model security, including Row-Level Security (RLS) and Object-Level Security (OLS), to protect sensitive deal and investor data
Balance flexibility with control by defining what each visual represents, scheduling appropriate refresh cadences, and constraining user interactions that could lead to misleading conclusions
Ensure data integrity, accuracy, and consistency across reporting platforms, with a non-negotiable bar on data model foundations, data validation, and clear naming and documentation
Contribute to BI strategy, governance standards, and adoption of best practices across the R&R function, partnering closely with the strategy lead to surface trade-offs and work through requests that may compromise scalability, maintainability, or correctness